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On representation of seminormed integral using level dependent Boolean capacities

IEEE International Conference on Fuzzy Systems, 2019
We present an alternative representation of seminormed integrals based on the t-cut of a monotone measure being a special level dependent Boolean capacity.
Jana Borzová   +2 more
semanticscholar   +1 more source

-Homogeneity properties of seminormed fuzzy integrals

Fuzzy Sets and Systems, 2006
This paper is concerned with the ''maxitivity'' and ''homogeneity'' of integrals, in a very general setting. For the semi(co)normed fuzzy integrals, we study the maxitivity, minitivity, and @?-homogeneity (@?-homogeneity) properties. Some necessary conditions for the fuzzy integrals to have such homogeneity properties are obtained.
openaire   +1 more source

Online streaming feature selection based on Sugeno fuzzy integral

Iranian Joint Congress on Fuzzy and Intelligent Systems, 2022
Feature selection is a step in which an optimal subset of features is selected for the learning process. This step is applied to high-dimensional data, so that irrelevant and redundant features are removed from the data.
Amin Hashemi   +2 more
semanticscholar   +1 more source

Performance Error Estimation and Elastic Integral Event Triggering Mechanism Design for T–S Fuzzy Networked Control System Under DoS Attacks

IEEE transactions on fuzzy systems, 2023
This article analyzes the mechanism of denial-of-service (DoS) attacks initiated by hackers from the perspective of computer networks. In order to effectively estimate the performance error generated by the T–S fuzzy networked control systems under DoS ...
Xiao Cai   +5 more
semanticscholar   +1 more source

Time-Varying Intuitionistic Fuzzy Integral for Emergency Materials Demand Prediction With Case-Based Reasoning

IEEE transactions on fuzzy systems, 2022
Recently, frequent emergencies seriously impact people’s life and production. The timely emergency material can save more people. Hence, emergency material demand prediction is a core of emergency rescue.
Decui Liang, Y. Fu, Zeshui Xu
semanticscholar   +1 more source

Fusion of Explainable Deep Learning Features Using Fuzzy Integral in Computer Vision

IEEE transactions on fuzzy systems
Fuzzy integral fusion has been shown as an effective tool for enhancing classification accuracy while also achieving explainability. With the deep learning boom in the past decade, many researchers have investigated the advantages of fusing various deep ...
Yifan Wang   +3 more
semanticscholar   +1 more source

Dissipativity-Based Integral Sliding Mode Control of Fuzzy Switched Positive Systems With Bumpless Transfer Performance

IEEE transactions on fuzzy systems
Nonlinear switched positive systems (SPSs) subject to time-varying delays are ubiquitous in actual applications, whose control and synthesis are complicated due to the influence of positivity constraints, switching laws, and time delays.
Zhiye Bai   +3 more
semanticscholar   +1 more source

A Fuzzy Measure and Choquet Integral-Based Approach in the Predictive Knowledge-Based Systems: Application to the Electricity Demand Forecasting

IEEE transactions on fuzzy systems
In a data-driven knowledge-based forecasting system, knowledge can be extracted from historical data by machine learning methods, and represented in the knowledge base. In the inference engine of such a system, the current inputs are used to forecast the
G. Beliakov, Rostam Niakan, Kalhori
semanticscholar   +1 more source

Interval-valued seminormed fuzzy operators based on admissible orders

Information Sciences, 2021
Michał Boczek, Lesheng Jin, M. Kaluszka
semanticscholar   +1 more source

Output-Feedback Proportional-Integral Fuzzy Control of Unknown Nonlinear Systems With Prescribed Performance

IEEE transactions on fuzzy systems
The problem of high-performance tracking control for the nonlinear systems with nonparametric uncertainties as well as time-varying disturbances is investigated in this article. In place of the methods of sliding-mode control, variable structure control,
Jin-Zi Yang, Jinxi Zhang, Tianyou Chai
semanticscholar   +1 more source

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